Search Results for author: Qianou Ma

Found 3 papers, 0 papers with code

Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning

no code implementations28 Apr 2024 Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rose

An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard feedback.

Cloud Computing

AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

no code implementations5 Nov 2023 Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny

Responding to the thousands of student questions on online QA platforms each semester has a considerable human cost, particularly in computing courses with rapidly growing enrollments.

Question Answering Retrieval

Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming

no code implementations8 Jun 2023 Qianou Ma, Tongshuang Wu, Kenneth Koedinger

The emergence of large-language models (LLMs) that excel at code generation and commercial products such as GitHub's Copilot has sparked interest in human-AI pair programming (referred to as "pAIr programming") where an AI system collaborates with a human programmer.

Code Generation

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